This page was automatically translated and may contain errors. View in English.
I

ML/Machine Learning Ops Engineer

Infogrowth

Chennai, Tamil Nadu, India · Jornada completa

Sé el primero en postularte

Experiencia
Más de 5 años
Salario
INR 2,500,000 – INR 3,500,000 / year
Vacantes
1
Al corriente
hace 1 hora
Modo de trabajo
En la oficina
Educación
Cualquier graduado
Elegibilidad
Any graduate with the relevant technical background and at least 5 years of experience in Machine Learning Operations.
Reanudar
Se requiere solicitud

Dónde trabajarás

Descripción del trabajo

About the Company

InfoGrowth Private Limited is a growing technology services firm based in Hyderabad, working across cloud solutions, staffing, and digital transformation. Founded in 2020, the company supports clients in India and abroad with technology delivery and business enablement across a range of industries.

The organization’s capabilities span cloud platforms such as Azure, AWS, and GCP, along with IT infrastructure, DevOps, software engineering, managed services, recruitment support, customer assistance, and enterprise business solutions. Its work centers on improving efficiency, speeding up digital adoption, and building scalable technology environments.

Role Overview

The team is reviewing profiles for a Machine Learning Engineer / Machine Learning Operations Engineer position in Chennai. The role calls for 5+ years of experience and focuses on moving models from experimentation into reliable production systems.

What You Will Do

  • Build data pipelines and the supporting engineering setup needed for large-scale enterprise machine learning solutions.
  • Convert offline models created by data scientists into deployable, production-ready systems.
  • Create and maintain scalable tools and services for training and inference workloads.
  • Assess emerging tools and platforms that can improve speed, reliability, and long-term maintainability.
  • Bring software engineering discipline to ML delivery, including automation and CI/CD practices.
  • Assist model development efforts with a strong focus on traceability, version control, and data protection.
  • Help prototype, test, and launch proof-of-concept machine learning solutions.
  • Work with clients to clarify requirements and monitor project progress.
  • Analyze structured, semi-structured, and unstructured datasets effectively.

Technical Expertise Needed

  • Advanced machine learning methods including decision trees, random forests, boosting, neural networks, deep learning, support vector machines, clustering, Bayesian networks, reinforcement learning, and feature reduction.
  • Ability to design reliable machine learning operations workflows for production environments.
  • Strong understanding of data engineering concepts and scalable infrastructure.
  • Experience applying versioning, auditability, and security practices in ML systems.

Eligibility and Requirements

  • University degree in Computer Science, Information Technology, or a related discipline.
  • Minimum 5 years of experience in a Machine Learning Operations role.
  • Any graduate may apply, provided the experience and technical background match the role.
  • Strong analytical ability and comfort working with different dataset formats.

Additional Details Required

  • Full name
  • Current location
  • Total experience
  • Relevant ServiceNow experience
  • Current company
  • Current CTC
  • Expected CTC
  • Notice period with last working day proof mandatory
  • Availability to join within 30 days (Yes/No)
  • Reason for change

Documents to Share

  • Updated resume in line with the job description
  • Proof of last company relieving, screenshot accepted
  • Notice period or last working day proof if currently serving notice

Important Information

This is a walk-in hiring opportunity for a Chennai-based role. The compensation mentioned is INR 25,00,000 to INR 35,00,000 per year.

Déjelo si desea una respuesta; no lo utilizaremos para ningún otro fin.

Haz clic para navegar, arrastrar y soltar, o pasta una captura de pantalla

PNG, JPG, GIF, MP4, WebM, MOV · Máximo 20 MB cada uno · Hasta 5 archivos

🤖
En línea · Ayuda instantánea con IA